Provided are systems and methods for indicating deployment of application features. In one embodiment, a method is provided that includes determining available features of a current deployment of an application for receiving machine-generated data from one or more data sources of a data system, determining un-deployed features of the current deployment of the application, wherein the un-deployed features comprise one or more of the available features that is configured to use input data from a data source and wherein the input data is not available to the feature in the current deployment of the application, and causing display of a deployment graphical user interface (GUI) that comprises an indication of the un-deployed features.
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2. The method of claim 1, wherein the at least one of the application or the first feature is not receiving the input data from the data source based on the application or the first feature being improperly configured to receive the input data from the data source.
3. The method of claim 1, wherein the at least one of the application or the first feature is not receiving the input data based on the data source not providing the input data to the at least one of the application or the first feature.
5. The method of claim 1, wherein the at least one of the application or the first feature is not receiving the input data based on the application not including a component to receive the input data from the data source.
17. The method of claim 1, wherein the application is configured to employ searches of machine-generated input data using a late-binding schema.
This invention relates to data processing systems that handle machine-generated input data, particularly in environments where the structure of the data is not known in advance. The problem addressed is the difficulty of efficiently searching and analyzing unstructured or semi-structured machine-generated data, such as logs, sensor outputs, or other automated system outputs, where the data schema (the structure defining fields and their relationships) is not predefined or may evolve over time. The solution involves a method for searching machine-generated input data using a late-binding schema approach. In this method, the application is configured to dynamically apply a schema to the data during the search process rather than requiring the schema to be predefined. This allows the system to adapt to varying data structures without prior knowledge of the schema, improving flexibility and reducing the need for manual schema definition. The application can process and search the data based on inferred or partially defined schemas, enabling more efficient querying and analysis of diverse machine-generated datasets. This approach is particularly useful in environments where data sources may change frequently or where the schema is not strictly enforced, such as in log analysis, IoT sensor data, or other automated data collection systems. The method ensures that the system can still perform meaningful searches and extractions even when the data structure is not fully known in advance.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
July 6, 2020
October 18, 2022
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